ArticleslgStudy

computer science

System information modelling

System information modelling is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand System information modelling rather than just read about it. In short: System information modelling (SIM) is the process of modelling complex connected systems. System information models are digital representations of connected systems, such as electrical instrumentation and control, power, and communication systems.

Key takeaways

  • System information modelling belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect System information modelling to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of System information modelling from memory before moving on to harder problems.

Reference excerpt

System information modelling (SIM) is the process of modelling complex connected systems. System information models are digital representations of connected systems, such as electrical instrumentation and control, power, and communication systems. The objects modelled in a SIM have a 1:1 relationship with the objects in the physical system. Components, connections and functions are defined and linked as they would be in the real world.

Origins The concept of SIM has existed since the mid-1990s. It was first proposed in 1994 by an Australian instrument, electrical and control system engineering company – I&E Systems Pty Ltd. Like many technological innovations the idea for SIM was born out of necessity. Since the mid-nineties, the complexity of power, control and Information and Communication Technology (ICT) systems has been growing exponentially due to rapid advances in technology; this has rendered the traditional paper-based methodologies and applications used for system design to become obsolete. The cost of design related activities can be up to 70% of the total project expenditure in an electrical instrumentation and control system (EICS) engineering project. Analyses revealed that the limited nature of paper-based methods/workflows had significant contributions to the high design cost which required duplication of information on multiple documents resulting in design errors and omissions and therefore increasing the cost of labour. With this in mind, the company realized there is a need to shift away from the traditional paper-based methods to a more efficient systematic digital modelling approach. The term 'System Information Modelling' was first published in a technical report in 2012 by Peter E.D. Love and Jingyang Zhou. The report presented empirical evidence to demonstrate that the use of a SIM could potentially improve productivity and reduce the cost to produce EICS documentation. The research examined a set of electrical engineering drawings of an Iron Ore Stacker Conveyor system; errors and omissions identified from the drawings have been classified and quantified. The report concluded that the use of traditional Computer-Aided-Design (CAD) methods to produce electrical engineering design is ineffective, inefficient and costly. Since 2013, a number of scholarly research papers have been published that have demonstrated the effectiveness and efficiency of using a SIM instead of CAD to design and document EICS in a variety of projects (e.g., iron ore processing plant, FPSO safety control system, copper smelter plant, oil refinery, and a geothermal power plant).

Definition System Information Modelling can be defined as the process of digitally modelling a complex connected system. A System Information Model is a shared information resource of a system forming a reliable basis of knowledge during its life-cycle.

Throughout the life-cycle A SIM containing all the project information can be applied throughout the entire life-cycle of the project.

Design Engineering design and documentation can be undertaken simultaneously when using a SIM. A SIM can be created as the design of an EICS progresses. Draftsman and modellers are no longer required. When a SIM is applied to the design of a connected system, all physical equipment and the associated connections to be constructed can be modelled in a relational database. Components are classified according to 'Type' and 'Location' attributes. The 'Type' attribute is used to define equipment functionalities. The 'Location' attribute is used to describe the physical position of equipment. Connections between equipment are modelled as 'connectors'. To facilitate the design, attributes, such as a device module, specifications and vendor manuals can be assigned and attached to each individual object. When the design process is complete, a read only copy of the model is created, exported and made available to other project team members. The users can access all or part of the design information within the SIM regarding to their respective authorization levels. Private user data can be established and attached to the model.

Procurement and construction When the design is approved for construction, a SIM, which is a digital realization of the design, can be issued to different parties such as the procurement team and construction contractors. Information management can be achieved digitally and the role of paper drawings is eliminated. The procurement plan and construction schedule can be created for each individual object in the SIM. Construction activities can be assigned to objects or work-packs with weighting factors defined. This enables the managers to be able to track the progresses of the procurement and construction detailed to individual object level and make informed decisions.

Asset management A SIM is specifically useful for asset managers, as it enables information to be stored in a single digital model. In a traditional CAD-based environment paper drawings are typically handed over to the asset owner in the form of 'As Built' drawings, which reflect, in theory, the actual construction of every system, component and connection of a project. If an asset manager wants to maintain, repair or upgrade any portion of the asset, then the 'As Built' drawings need to be used. However, recovering information contained on an array of drawings is a tedious and time-consuming task. Any error or omission contained within the drawings will potentially hinder the interpretation of the design. When engineering is undertaken using a SIM it can be stored in a digital format whereby a 1:1 mapping is undertaken. Operations such as test, calibration, inspection, repair, minor change and isolation can be defined and scheduled within the SIM. The SIM data can also be conveniently exported and input into other third party asset management applications to comply with the owners' asset management strategy. In addition, the SIM can act as a training tool, which can be used regularly to assist operators to become familiar with the design.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with System information modelling

Start with the simplest possible case. Write down what System information modelling claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to System information modelling before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about System information modelling ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of System information modelling

In research
System information modelling appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses System information modelling in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
System information modelling is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computer-aided design, Data modeling, Information management, so understanding it makes those chapters shorter.
In everyday life
Look for System information modelling outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “System information modelling” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study System information modelling in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what System information modelling means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain System information modelling out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is System information modelling in simple terms?

System information modelling (SIM) is the process of modelling complex connected systems. System information models are digital representations of connected systems, such as electrical instrumentation and control, power, and communication systems.

Why does System information modelling matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study System information modelling?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on System information modelling.

Tags

  • Computer-aided design
  • Data modeling
  • Information management

Keep exploring